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physico-chemical trends, and extract relevant structural and electronic descriptors to inform the models. Particular attention will be paid to ensuring consistency between theoretical and experimental data
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molecules using site-specific conjugation strategies. - Development of DNA origami scaffolds to spatially organize and orient proteins for structural studies by single-particle Cryo-Electron Microscopy
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Description Magneto-transport study of topological insulators up to 70 T: toward Quantum Anomalous Hall effect in topological hetero-structures The main property of topological materials is the existence
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Postdoctoral researcher (M/F), synthesis of crystal phase heterostructures by Molecular Beam Epitaxy
outcomes. Molecular beam epitaxy (MBE) growth of GaAs nanowires on patterned Si/SiO₂ substrates. Structural analysis by electron microscopy (in situ TEM, electron diffraction, zone-axis indexing). Automated
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, electronics, image and data analysis, chemistry, and biology. In this position, the successful candidate will work on the development of a novel three-dimensional single-molecule localization microscopy
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. This convergence is particularly visible in Saclay's area where a large community of computer scientists is structured around the PIC code Smilei, and where several ultra-high intensity laser facilities
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quite new within the field of computer vision. The neuromorphic design allows for a much higher acquisition frequency but most and foremost much longer acquisition time spans. This makes it ideal
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, physical chemistry, photophysics and biology, and seeks to simultaneously extract structural, dynamical and environmental information at the single-molecule scale. Within the framework of this position
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• Participation in micro- and nanofabrication processes using CRHEA's state-of-the-art cleanroom facilities (advanced lithography and etching techniques) • Optical and structural characterization of fabricated
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surface-chemistry trends across selected metals and their oxides. These data will support the construction of a machine-learning force field tailored to NHC–surface systems, enabling large-scale molecular